利用先进的逆散射技术进行雷达目标成像与识别

Wang Jun
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引用次数: 0

摘要

提出了一种新的目标识别方法。为了有效地获得用于目标识别的特征向量,还推导了几何波前的封闭表达式,以提供高效、准确的计算。然后,由开发的提取器获得的低维特征向量,使用著名的人工神经网络(ann)分类器进行识别。在说明性实验中。三个细线目标被区分。结果表明,该方法在低信噪比条件下,以较低的计算成本实现了目标自动识别。因此,所提出的技术在ATR中具有重要的应用潜力。
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Radar target imaging and identification using the advanced inverse scattering technique
A new target recognition procedure is developed. In order to efficiently obtain feature vectors for target discrimination, the closed-form expression of geometrical wave fronts is also derived to provide efficient and accurate computation. Then, the resulting low dimensional feature vectors, obtained by the developed extractor, are identified using the well-known artificial neural networks (ANNs) classifier. In the illustrative experiments. three thin-wire targets are discriminated. The results show that the presented scheme gives successful automatic target recognition (ATR) in the low SNR with low computational costs. Therefore, the proposed technique has a significant potential for use in ATR.
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